vllm
https://github.com/vllm-project/vllm
Python
A high-throughput and memory-efficient inference and serving engine for LLMs
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- Issues
- [Model] Add native RWKV7 serving, fused execution, and quantization
- [Bugfix] Bound two num_accepted-derived indices in the GDN spec-decode path (MTP + hybrid GDN CUDA illegal access)
- [CI] Shut down EngineCore explicitly in dynamic shapes compilation tests
- fix(cli): include inherited field docstrings in get_attr_docs
- benchmarks: add speculative decoding analysis script
- [Bugfix] Clean distributed state after worker initialization failure
- [Model] Support native Transformers ERNIE 4.5 VL
- [Bug]: PP=2 + GlmMoeDsa: inductor compile combined with CUDA-graph capture produces garbage output; either alone is clean (v0.24 & v0.26)
- [Kernel] ReplaySSM: cache SSM inputs for faster Mamba2 speculative decode
- [CI] Add trusted /ci policy and catalog metadata
- Docs
- Python not yet supported